Yinnan Zhu

Advanced search Toxicology Mechanisms and Methods Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/15376516.2025.2543347?needAccess=true Accepted author version Abstract Esophageal squamous cell carcinoma (ESCC), which has a high incidence and mortality rate in East Asia, arises from a complex interplay between genetic alterations and environmental exposures.

3. Result Model Construction and Optimization In this work, five machine learning algorithms (LR, RF, SVM, DT, XGB) were trained to predict the risk of ARDS in SAP patients (binary classification model). The training set data were randomly split into five groups, of which four groups were used for training, and the remaining one was used for testing. The other group and the remaining groups are used for validation and training.